Optimizely is the gold standard for web experimentation. It lets you run A/B tests, multivariate tests, and personalization campaigns with statistical rigor. If you're running experiments at scale, Optimizely is hard to beat.
But here's the problem most teams face: they don't know what to test. So they test random things — button colors, headline variations, image swaps — without a clear hypothesis about what's actually broken. The result is a lot of inconclusive tests and wasted development time.
Diagnosis before experimentation
The most effective A/B testing programs start with diagnosis. Before you test, you need to know:
- What's broken? — Is it the headline, the CTA, the social proof, or the page structure? Our 8-dimension analysis pinpoints the specific areas dragging your conversion rate down.
- What to test first? — Our priority fixes are ranked by conversion impact. Test the highest-impact changes first instead of cycling through random ideas.
- What does the competition do differently? — Analyze competitor pages to generate test hypotheses based on real-world examples, not internal brainstorms.
The complementary workflow
roast.page and Optimizely work best together in sequence:
- Diagnose — roast.page identifies that your hero headline is feature-focused and your CTA is below the fold
- Hypothesize — "Changing to an outcome-focused headline and moving the CTA above the fold will increase conversions"
- Test — Optimizely runs the A/B test with the new variant
- Validate — Statistical results confirm the improvement
- Re-diagnose — roast.page re-analyzes the winning variant to find the next opportunity
This cycle — diagnose, hypothesize, test, validate — is how the best optimization teams operate. Random testing without diagnosis is expensive and slow.